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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2021–2026

EffectFact · Effective Factorisation techniques for matrix-functions: Developing theory, numerical methods and impactful applications

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2021-09-01 → 2026-02-28
Финансиране от ЕС
1 821 600 €
Участници
31
Схема
MSCA-RISE

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Математическите методи за факторизация и разлагане на матрични функции помагат за решаване на сложни задачи в биомеханиката и инженерството. Тези изчисления подобряват защитата срещу земетресения и крайбрежни наводнения, както и развитието на изкуствения интелект.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Effective Factorisation techniques for matrix-functions: Developing theory, numerical methods and impactful applications

Funded by the Marie Skłodowska-Curie Actions (RISE H2020), the EffectFact project aims to develop advanced factorisation and Wiener-Hopf methods as well as methods for Riemann-Hilbert problems to solve time-dependent boundary value problems in complex discrete and continuous domains. Those problems could not be solved independently, requiring continuous feedback from analytic, applied and computational researchers from numerous disciplines. The main goals of the EffectFact project are: • to advance pure and applied mathematics in the area of factorisation techniques, Wiener-Hopf and Riemann-Hilbert problems and related numerical techniques to solve time dependent boundary value problems in complex discrete and continuous domains; • to utilise the developed techniques to solve challenging problems from: i) biomechanics, ii) medicine, iii) metamaterials (acoustic and gyro-elastic), iv) AI (machine learning), v) environmental and civil engineering (with a focus on earthquake and coastal defences) and, in doing so, • to establish a new, sustainable, EU-centred network of researchers from different sectors and disciplines, united by their dedication to furthering the projects techniques and results, while transferring this knowledge, best practice and creating new training opportunities for EU researchers. EffectFact consortium members possess outstanding fundamental expertise in the theoretical and numerical aspects of the Wiener-Hopf technique complemented by extensive knowledge and experience of industrial Partners in implementation of novel ideas in various industrial areas. EffectFact utilises those complementary skills creating a unique environment for cutting edge research and innovation. Staff secondments and various training and dissemination activities facilitate an effective knowledge Network. This diverse collaborative Network forge interdisciplinary links within the EU, strengthen the access of EU academics and SME’s to international research, lead to tangible and impactful results, while building a strong base of robust, independent researchers capable of furthering the aims of EffectFact long into the future.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The main goals of the EffectFact proposal are a) to advance pure and applied mathematics in the area of factorisation techniques, Wiener-Hopf and Riemann-Hilbert problems and related numerical techniques to solve time dependent boundary value problems in complex discrete and continuous domains; b) to utilize the developed techniques to solve challenging problems from: i) biomechanics (DNA replication), ii) medicine (surgical resection and dentistry), iii) metamaterials (acoustic and gyro-elastic), iv) AI (machine learning), v) environmental and civil engineering (with a focus on earthquake and coastal defences) and, in doing so,c) to establish a new, sustainable, EU-centred network of researchers from different sectors and disciplines, united by their dedication to furthering the projects techniques and results, while transferring this knowledge, best practice and creating new training opportunities for EU researchers.The EffectFact consists of 24 Partners: 9 Academic Institutions from the EU (UK, France, Germany, Italy, Poland), 6 Universities from the AC (Georgia, Israel, Norway and Ukraine); 8 highly innovative SMEs adopting completely different R&D strategies (UK, Switzerland, France, Slovenia, Israel, Slovakia); 1 Academic Partners from the TCs (China). All EffectFact goals align with the RISE Objectives, establishing a unique consortium to fill gaps in several scientific disciplines, impacting H2020 priorities and Horizon Europe missions. These problems could not be solved independently, requiring continuous feedback from analytic, applied and computational researchers from numerous disciplines. This diverse collaborative Network will forge interdisciplinary links within the EU, strengthen the access of EU academics and SME’s to international research, lead to tangible and impactful results, while building a strong base of robust, independent researchers capable of furthering the aims of EffectFact long into the future.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз